摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的新数据在一份新的报告中呈现。据新闻报道NewsRx记者从中国人民代表大会长春报道，研究称，"表面增强"拉曼光谱(SERS)已被证明是一种有效的解释方法DNA的二级结构特征。然而，DNA构象的内在复杂性SERS样品的缺乏给识别许多二级结构带来了挑战。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting from Changchun, People’s Rep ublic of China, by NewsRx journalists, research stated, “SurfaceenhancedRaman spectroscopy (SERS) has been demonstrated as an effective method for elucidatingsecondary structural characteristics of DNA. However, the inherent complexity o f the DNA conformationand the lack of SERS samples pose challenges for identify ing numerous secondary structures.”
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